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Curriculum Learning

TrainingStrategy AIO:CurriculumLearning NOT_REVIEWED
A training strategy in machine learning where models are trained on data in a meaningful order starting with simpler examples and gradually increasing the complexity to improve learning efficiency and model performance.
Ontology IRI: https://w3id.org/aio/CurriculumLearning

Ontology Structure & Relationships

Parent Classes
Branches
TrainingStrategy

Annotations & Sources

Synonyms:
  • Sequential Learning exact
  • Structured Learning exact
  • Complexity grading related
  • Sequential learning related
Subsets:
  • https://w3id.org/aio/TrainingStrategySubset

Curated AIMech Concepts Grounded to this Class

4 Concepts
Curated Concept Kind Mapping Relation Rationale
Curriculum Dropout
AIMech:CurriculumDropout
 Algorithms related_match Both schedule training difficulty, but this algorithm changes Bernoulli corruption rather than ordering observed examples. The paper’s formal equivalence proof is qualified; the mapping is related, not an equivalence or subclass claim.
Differentiable scheduled sampling
AIMech:DifferentiableScheduledSampling
 Algorithms related_match Reference feedback and relaxation sharpness can be scheduled during training. This associates the algorithm with curricula, while the pinned target emphasizes example ordering rather than this feedback procedure.
Scheduled sampling
AIMech:ScheduledSampling
 Algorithms related_match The source explicitly presents a curriculum that changes reference-feedback probability during training. The pinned class describes ordering examples from simple to complex, whereas this procedure changes how feedback is selected. A related mapping preserves that training-strategy association without asserting exact identity or an is-a edge under the narrower pinned wording.
Training signal annealing
AIMech:TrainingSignalAnnealing
 Algorithms related_match Both concern scheduling training examples, but TSA filters already-confident labeled samples instead of the target’s simple-to-complex presentation order. The relation is related, not broader or equivalent.

Import Provenance & Upstream Synchronization

Source Repo: AIO GitHub
Release Version: aio.json
Commit: 397851c547…
License: CC-BY-4.0
Imported At: 2026-10-10T07:34:10Z
SHA256: 8f741d71408c…
Source File: data/aio/CurriculumLearning.yaml